neuromuscular plasticity in response to obesity: effects of mechanical overload, metabolic disorders and age

Conditions: Obesity

Summary: obese people suffer from significant functional limitations, which affect their quality of life and limit their physical activity level. functional abilities are largely determined by neuromuscular properties, i.e the ability to produce a torque or a power, and fatigability, i.e the ability to maintain a high level of torque production during repeated contractions. our previous studies on "healthy" obese adolescents (i.e without inflammation or metabolic disorder) suggests that obesity has positive effects on the neural and muscular factors responsible for torque production, with chronic overload acting as a strength training . however, this high torque level is associated with higher fatigability. these results are in contrast with the data obtained on adult obese patients (young and elderly), in whom torque production and fatigability appear to be more impaired, probably due to the development of metabolic disorders associated with obesity (inflammation, insulin resistance and lipid infiltration in muscle) and aging. the respective effects of mechanical overload, metabolic disorders (insulin resistance and lipid infiltration) and aging on neural and muscular factors of torque production and neuromuscular fatigue etiology are not currently known in young adult obese of elderly. their relationship to the clinical symptoms of mobility troubles is also unknown. however, this knowledge is crucial for designing physical activity programs tailored and adapted to the level of metabolic impairment and age of obese patients. the hypothesis is that mechanical overload associated with obesity has positive effects on torque production in the absence of metabolic alteration and the effect of aging but negative effects on fatigability, mainly due to muscular factors; the insulin resistance increases peripheral fatigue (due to an alteration in the excitability of the sarcolemma during fatiguing exercise), central fatigue, and slows recovery; the development of inflammation and lipid infiltration, which are more pronounced in obese subjects, further affect torque production through inhibition of the nervous control and alteration of contractile properties and muscle architecture, all these phenomena leading to a decrease in torque production and increased fatigability, cumulating with the effects of the ageing (sarcopenia).

the limited data available in the literature suggest that insulin resistance, low-grade inflammation and muscle lipid infiltration may negatively impact torque production capacity and promote neuromuscular fatigability. insulin resistance thus has effects on blood perfusion of active muscles, via effects on the autonomic nervous system (petrofsky and al. 2009). insulin resistance is also associated with a disruption of na+/k+ pump activity, excitation-contraction coupling, intracellular atp concentration (orlando and al. 2016) and mitochondrial function (slattery and al. 2014). all these effects are expected to increase the development of peripheral fatigue in obese patients with type 2 diabetes and impaired mitochondrial function is expected to result in impaired post-exercise recovery capacity. inflammation can also affect the torque production. some studies have shown a negative correlation between muscle torque production and inflammatory status in obese adolescents (ruiz and al. 2008) and seniors (visser and al. 2002). inflammation is associated with reduced muscle mass, which may result from inhibition of protein synthesis (guillet and al. 2012). inflammation could also have negative effects on the nervous factors of torque production, via the stimulation of afferences iii and iv, as suggested in the healthy subject (dousset and al. 2007). however, this has never been demonstrated. finally, oedema associated with the inflammatory reaction could modify the architecture and muscle dimensions, as demonstrated in healthy subjects (ishikawa and al. 2006) or those suffering from inflammatory diseases (kaya and al. 2013). to date, the consequences of low-grade inflammation, combined or not with aging, on the muscle and nervous factors of force production in obese adults have yet to be characterized experimentally. muscle lipid infiltration can also have negative effects on muscle protein synthesis (tardif and al. 2014) and especially on strength. this has been frequently reported in non-obese elderly people (sipilä and suominen 1994). interestingly, another study reported a negative correlation between intramuscular lipid content and level of quadriceps voluntary activation in non-obese elderly people (yoshida and al. 2012), which may explain the correlation discussed above. to our knowledge, no data are available for adult obese patients. however, it can be assumed that lipid infiltration would have inhibitory effects on the level of activation of motor units, and therefore on the production of force. it is also likely that lipid infiltration limits muscle architectural adaptations to overweight (contractile and adipose tissues competing to develop in a restricted muscle volume). mathematical modelling of the effects of lipid infiltration on muscle mechanics (rahemi and al. 2015) suggests that intramuscular lipids could disrupt contractile activity by limiting the shortening of muscle fascicles, and transverse muscle deformation during muscle contraction. however, these theoretical predictions have yet to be confirmed by experimental data. the planeurob research project is a physiological observational study comparing the respective effects of mechanical overload, metabolic disorders and age on torque production, fatigability and functional capacity in obese people. subjects will have to perform a fatigue protocol, an adapted margaria test and a 6 minutes walking test in one session. blood samples, muscular ultrasound scanner and physical activity assessment will also be achieved. data will be analysed using labchart 7.3 pro software (adinstrument, new south wales, australia), imagej (nih image, bethesda, maryland, usa) and statistica 8.0 software (statsoft, inc.) and significance will be accepted at a two-sided alpha level of p\<.05. the normality and homogeneity of the variables will be checked respectively from a shapiro- wilk test and a barlett test. if normality and homogeneity of the variables are verified, absolute values of variables (torque, emg, mean grey, etc.) will be compared using two factors (age x metabolic disorders) analyses of variance (anova) with repeated measures. if analyses reveal a significant effect of any factor or interaction of factors, post-hoc newman-keuls tests will be performed to determine differences between the different conditions.

Eligibility criteria:
inclusion criteria: * female or male subject, aged between 20 and 70 years old (inclusive terminals). * subject with a bmi greater than 30kg/m². * subject with a stable weight for at least 3 months before the start of the study. * subject capable and willing to comply with the protocol and willing to give informed consent in writing. * subject affiliated to a social security system. exclusion criteria: subject with a medical or surgical history deemed by the investigator to be incompatible with the study. * subject with a medical contraindication to intense activity. * subject weighing more than 170kg, which may damage the dynamometer chair. * subject with a treatment that, in the investigator's opinion, may interfere with the evaluation of study criteria, period of exclusion from a previous clinical study. * subject who has received a total amount of compensation since the beginning of the calendar year, greater than 4500 euros (amount may change depending on the regulation). * subject with a linguistic or physiological disability to sign informed consent. * subject deprived of liberty by administrative of juridical decision, under guardianship or curatorship. * pregnant or breastfeeding women.

Keywords: obese torque production neuromuscular fatigue electrical muscle stimulation knee extensors metabolic disorders